Results 51 to 60 of about 483,558 (265)

A silicon model of auditory localization [PDF]

open access: yes, 1989
The barn owl accurately localizes sounds in the azimuthal plane, using interaural time difference as a cue. The time-coding pathway in the owl's brainstem encodes a neural map of azimuth, by processing interaural timing information.
Lazzaro, John, Mead, Carver A.
core   +1 more source

Another Neural Code?

open access: yesNeuroImage, 1997
This paper presents the conjecture that functional integration may be mediated by the mutual induction and maintenance of stereotyped spatiotemporal patterns of activity (i.e., transients) in different neuronal populations. In contradistinction to temporal and rate coding models of neuronal interactions, transient coding considers that transactions ...
openaire   +2 more sources

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Aberration correction in long GRIN lens-based microendoscopes for extended field-of-view two-photon imaging in deep brain regions

open access: yeseLife
Two-photon (2P) fluorescence imaging through gradient index (GRIN) lens-based endoscopes is fundamental to investigate the functional properties of neural populations in deep brain circuits.
Andrea Sattin   +8 more
doaj   +1 more source

Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding

open access: yes, 2019
Although Shannon mutual information has been widely used, its effective calculation is often difficult for many practical problems, including those in neural population coding.
Huang, Wentao, Zhang, Kechen
core   +1 more source

Navigating the Neural Space in Search of the Neural Code [PDF]

open access: yesNeuron, 2017
The advent of powerful perturbation tools, such as optogenetics, has created new frontiers for probing causal dependencies in neural and behavioral states. These approaches have significantly enhanced the ability to characterize the contribution of different cells and circuits to neural function in health and disease.
Mehrdad, Jazayeri, Arash, Afraz
openaire   +2 more sources

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Hierarchical Random Access Coding for Deep Neural Video Compression

open access: yesIEEE Access, 2023
Recently, neural video compression networks have obtained impressive results. However, previous neural video compression models mostly focus on low-delay configuration with the order of display being the same as the order of coding.
Nguyen Van Thang, Le Van Bang
doaj   +1 more source

Coding of auditory space [PDF]

open access: yes, 2003
Behavioral, anatomical, and physiological approaches can be integrated in the study of sound localization in barn owls. Space representation in owls provides a useful example for discussion of place and ensemble coding. Selectivity for space is broad and
Konishi­, Masakazu
core   +1 more source

Neural Decoder for Topological Codes

open access: yesPhysical Review Letters, 2017
We present an algorithm for error correction in topological codes that exploits modern machine learning techniques. Our decoder is constructed from a stochastic neural network called a Boltzmann machine, of the type extensively used in deep learning.
Torlai, Giacomo, Melko, Roger G.
openaire   +4 more sources

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